Who I Am
Hi, I'm Khadija Kriaa
I'm a final-year Data Engineering & Decision Systems (IDSD) student at ENET’Com, Sfax, specialising in Data Science. I’m now looking for a 6-month end-of-studies internship (PFE) starting February 2027.
My work sits at the intersection of AI engineering and software craft — I build LLM applications with RAG pipelines and agentic orchestration in Python, then back them with solid REST APIs and relational data models. I'm driven by curiosity, drawn to agentic systems and software reliability, and motivated by shipping AI into real business products.
Beyond code, you'll find me playing guitar, diving into tech or self-improvement books, or watching a thought-provoking sci-fi series. I believe the best engineers are also the most well-rounded humans.
Core Focus Areas
Featured Projects
Tunisian Dialect Classification
A sentiment analysis model fine-tuned on nearly 50,000 Tunisian Arabic dialect texts using MARBERT, deployed as an interactive demo space.
Built the full NLP pipeline — preprocessing, tokenization, classification and F1-score evaluation — around MARBERT (Arabic BERT) via transfer learning on Hugging Face. The model classifies text into positive/negative/neutral sentiments, handling code-switching between Arabic, French, and Tunisian dialect.
Key Features
- Fine-tuned MARBERT on ~50,000 Tunisian dialect texts
- Multi-class sentiment classification
- Handles Arabic-French code-switching
- Evaluated with F1-score
Hybrid Agent for Driving Assistance
A hybrid multi-agent system that detects road situations in real time using VEINS simulator data and generates natural language + textual alerts to assist drivers safely.
Combines a reactive safety agent with a deliberative BDI agent for contextual reasoning, forming a true hybrid multi-agent architecture. Multiple independent ML agents (overtaking, intersection, dangerous zones) collaborate by feeding beliefs into the BDI layer, which generates context-aware alerts via natural language generation and text-to-speech.
Key Features
- Real-time road situation detection
- Natural language alert generation
- Hybrid multi-agent architecture
Skills & Expertise
Soft Skills
Also Familiar With
Internships
AI & Data Intern — RAG, LLM & Agentic AI
Union Internationale de Banques (UIB)
Built an internal assistant that lets staff query banking circulars in natural language, grounded in retrieved source documents with full answer traceability.
- Developed a Python RAG pipeline covering PDF extraction, chunking, embeddings, retrieval and LLM generation
- Orchestrated the pipeline with LangGraph for agentic control flow
- Implemented hybrid retrieval combining BGE-M3, BM25 and Qdrant, fused with Reciprocal Rank Fusion (RRF)
- Evaluated retrieval quality with MRR and Recall@K
- Built a Streamlit interface surfacing the sources used for every generated answer
Data Science Intern — Data Pipelines & Predictive Modeling
Société Tunisienne de Banque (STB)
Built reproducible predictive modeling pipelines over more than 16,000 real-estate observations, covering preprocessing, feature engineering and systematic model comparison.
- Collected, cleaned and analyzed 16,000+ real-estate observations using Python, Pandas and NumPy
- Performed preprocessing and feature engineering on the dataset
- Built reproducible pipelines with Scikit-learn Pipeline, ColumnTransformer and RobustScaler
- Compared and optimized models including XGBoost and LightGBM
- Applied cross-validation and RandomizedSearchCV for hyperparameter tuning
Software & AI Intern — Back-End, REST APIs & Document Processing
Coconsult Nearshore
Built a document processing platform combining Tesseract OCR with the Cohere API to extract and structure information from PDFs and images.
- Combined Tesseract OCR and the Cohere API to extract and structure data from PDF and image documents
- Developed REST APIs with Spring Boot and designed the relational storage layer under PostgreSQL
- Integrated JWT-based authentication with Spring Security for secure data exchange
- Contributed to the development of the Angular frontend
Education
Engineering Degree — Data Engineering & Decision Systems (IDSD)
ENET'Com — Ecole Nationale d'Electronique et des Telecommunications de SfaxFinal-year engineering programme specialising in Data Science. Curriculum covers advanced algorithms, databases, machine learning, AI engineering, and system architecture.
Mathematics & Physics (MP) preparatory track for the National Engineering Entrance Competition (Concours National d'Ingenieurs). Passed the national competition to qualify for elite engineering programmes.
Get In Touch
Open to Opportunities
Internships, research, collaborations
I’m a final-year Data Engineering & Decision Systems student at ENET’Com, specialising in Data Science. I’m looking for a 6-month end-of-studies internship (PFE) starting February 2027. If you have an opportunity or just want to chat, feel free to reach out!
“If you understand time, you're on your way to understanding reality.”